NNbenchmark (version 3.2.0)

mFriedman: Dataset mFriedman

Description

A multivariate dataset (x1, x2, x3, x4, x5, y) of class matrix and dim 500 x 6 to be fitted by a neural network with 5 hidden neurons (36 parameters).

References

Friedman, J. H., Grosse, E., & Stuetzle, W. (1983). Multidimensional additive spline approximation. SIAM Journal on Scientific and Statistical Computing, 4(2), 291-301.

See also https://www.sfu.ca/~ssurjano/fried.html

Examples

# NOT RUN {
ht(mFriedman)
pairs(mFriedman)
# }